Bug#641464: ITP: pandas -- data structures for "relational" or "labeled" data
Package: wnpp
Severity: wishlist
Owner: NeuroDebian Team <team@neuro.debian.net>
* Package name : pandas
Version : 0.4.0
Upstream Author : Wes McKinney <wesmckinn@gmail.com>
* URL : http://pandas.sourceforge.net
* License : BSD-3
Programming Lang: Python, Cython
Description : data structures for "relational" or "labeled" data
pandas is a Python package providing fast, flexible, and expressive
data structures designed to make working with "relational" or
"labeled" data both easy and intuitive. It aims to be the fundamental
high-level building block for doing practical, real world data
analysis in Python. pandas is well suited for many different kinds of
data:
.
- Tabular data with heterogeneously-typed columns, as in an SQL
table or Excel spreadsheet
- Ordered and unordered (not necessarily fixed-frequency) time
series data.
- Arbitrary matrix data (homogeneously typed or heterogeneous) with
row and column labels
- Any other form of observational / statistical data sets. The data
actually need not be labeled at all to be placed into a pandas
data structure
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